The　development　of　renewable　energy　dominated　power　system　and　the　integration　of　large-scale　wind-storage　energy　system　are　inevitable　trends　of　the　future　society.　This　paper　developed　a　new　methodology　of　hierarchical　power　allocation　strategy　considering　wind　power　fluctuation.　A　novel　idea　is　presented　that　fully　considers　the　fluctuation　and　energy　proportion.　Based　on　the　Quartile　Method　(QM)　and　Hampel-Savitzky　Golay　(HSG)　strategy,　a　layered-based　method　that　considers　the　volatility　interval　to　effectively　overcome　the　limitations　of　a　single　strategy　caused　by　severe　volatility　interval　is　proposed.　Then,　an　improved　power　division　method　based　on　Complete　Ensemble　Empirical　Mode　Decomposition　with　Adaptive　Noise　(CEEMDAN)　and　Dynamic　Mode　Decomposition　(DMD)　is　proposed　where　CEEMDAN　is　used　to　decompose　the　Intrinsic　Mode　Function　(IMF)　of　the　remaining　fluctuations.　Furthermore,　according　to　the　required　setting　of　energy　proportion,　DMD　strategy　is　used　for　power　fitting　of　the　hybrid　energy　storage　system　(HESS).　Through　experimental　verification,　the　hierarchical　strategy　proposed　in　this　paper　can　effectively　reduce　the　probability　of　severe　volatility　interval　or　distortion　interval　and　ensure　the　sequence　in　the　ideal　interval.　Moreover,　the　proposed　CEEMDAN-DMD　strategy　can　realize　the　power　division　according　to　the　energy　proportion　demand.　In　model　verification,　the　volatility　improvement　&　zeta;&　lambda;1min　=　85.4766%.　Set　the　energy　demand　&　GE;　80%,　the　fitting　energy　proportion　accounts　for　87.7533%,　which　outperforms　the　traditional　power　division　method.　In　addition,　it　is　demonstrated　that　the　theoretical　method　proposed　in　this　paper　is　reliable　and　promising.